An intelligent sliding mode controller has been developed for the tracking control of weapon pointing systems with uncertain external disturbances and system parameters perturbation. In this control scheme, nonsingular terminal sliding mode and Radial Basis Function neural network have been merged to compensate the uncertainties automatically. The control signal, therefore, has also been soften to reduce the chattering of the control system. The effectiveness of the control scheme has been verified by a unmaned turret pointing system simulation tests. This approach can also be utilized for the design and implementation of a large class of modern weapon pointing and platform systems with superior performance capabilities.